Superconducting implementation of neural networks using fluxon pulses

Y. Mizugaki; K. Nakajima; Y. Sawada; T. Yamashita

doi:10.1109/77.233508

Superconducting implementation of neural networks using fluxon pulses

Y. Mizugaki, K. Nakajima, Y. Sawada, T. Yamashita

東北大学

研究成果: Article › 査読

5 被引用数 (Scopus)

抄録

We fabricated neural-based superconducting integrated-circuits by using Nb/AlO_x/Nb Josephson junctions, and demonstrated the operation of 2-bit neural-based A/D converter which is one of the circuits solving optimization problems. We used fluxon pulses as neural impulses and a Josephson junction as a threshold element. The conductance values of resistors by which Josephson transmission lines are connected represent fixed synaptic strengths. The preliminary experimental result suggests that variable critical currents of dc-SQUID may provide synapses with variable strength.

本文言語	English
ページ（範囲）	2765-2768
ページ数	4
ジャーナル	IEEE Transactions on Applied Superconductivity
巻	3
号	1 pt 4
DOI	https://doi.org/10.1109/77.233508
出版ステータス	Published - 1993 3月

ASJC Scopus subject areas

電子工学および電気工学
物理学および天文学（その他）

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Superconducting implementation of neural networks using fluxon pulses

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